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--- |
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license: other |
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base_model: facebook/KernelLLM |
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datasets: |
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- ScalingIntelligence/KernelBench |
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- GPUMODE/KernelBook |
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library_name: transformers |
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tags: |
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- mlx |
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--- |
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# mlx-community/KernelLLM-6bit |
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The Model [mlx-community/KernelLLM-6bit](https://huggingface.co/mlx-community/KernelLLM-6bit) was converted to MLX format from [facebook/KernelLLM](https://huggingface.co/facebook/KernelLLM) using mlx-lm version **0.22.3**. |
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## Use with mlx |
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```bash |
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pip install mlx-lm |
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``` |
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```python |
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from mlx_lm import load, generate |
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model, tokenizer = load("mlx-community/KernelLLM-6bit") |
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prompt="hello" |
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if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None: |
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messages = [{"role": "user", "content": prompt}] |
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prompt = tokenizer.apply_chat_template( |
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messages, tokenize=False, add_generation_prompt=True |
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) |
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response = generate(model, tokenizer, prompt=prompt, verbose=True) |
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``` |
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